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Statistical and machine learning approaches for network analysis
by
Basak, Subhash C
, Dehmer, Matthias
in
Communication
/ Communication - Network analysis - Graphic methods
/ Graphic methods
/ Information science
/ Information science -- Statistical methods
/ Machine theory
/ Network analysis
/ Research -- Statistical methods
/ Statistical methods
2012
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Statistical and machine learning approaches for network analysis
by
Basak, Subhash C
, Dehmer, Matthias
in
Communication
/ Communication - Network analysis - Graphic methods
/ Graphic methods
/ Information science
/ Information science -- Statistical methods
/ Machine theory
/ Network analysis
/ Research -- Statistical methods
/ Statistical methods
2012
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Do you wish to request the book?
Statistical and machine learning approaches for network analysis
by
Basak, Subhash C
, Dehmer, Matthias
in
Communication
/ Communication - Network analysis - Graphic methods
/ Graphic methods
/ Information science
/ Information science -- Statistical methods
/ Machine theory
/ Network analysis
/ Research -- Statistical methods
/ Statistical methods
2012
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Statistical and machine learning approaches for network analysis
eBook
Statistical and machine learning approaches for network analysis
2012
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Overview
\"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc\"--
Publisher
Wiley,John Wiley & Sons, Incorporated,Wiley-Blackwell
Subject
ISBN
9780470195154, 0470195150, 111834698X, 9781118346983, 1118346998, 9781118346990
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